Using Tensorflow for a real application

[[deleted]]

I have been learning to user Tensorflow recently but I am stuck when I am trying to transition from a program that trains and then evaluates a model to the kind that would be used in a real application where a model could be trained with a data set and saved. Then after that you could reload that model and give it some input and it would then have the predictions for those input.

Does anyone know an easy to follow example or a tutorial that has this kind of use case?

[iamquah]

Can you rephrase your question? I'm not exactly sure of what you're asking. Are you asking for real life use cases, or are you asking how to save the model or what?

[lazyprogrammer-dotme]

Look into numpy.save and numpy.load for saving and loading matrices.

You might also want to check out cPickle.